User Modeling and User-Adapted Interaction

Papers
(The median citation count of User Modeling and User-Adapted Interaction is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
The relationship between user types and gamification designs49
Interplay between upsampling and regularization for provider fairness in recommender systems40
A flexible framework for evaluating user and item fairness in recommender systems31
Exploring author gender in book rating and recommendation25
Fairness in recommender systems: research landscape and future directions25
“Knowing me, knowing you”: personalized explanations for a music recommender system25
Personalized home-care support for the elderly: a field experience with a social robot at home24
Deploying a robotic positive psychology coach to improve college students’ psychological well-being21
Personality-based approach for tailoring persuasive mental health applications21
EvoRecSys: Evolutionary framework for health and well-being recommender systems19
Potential and effects of personalizing gameful fitness applications using behavior change intentions and Hexad user types17
Improving accountability in recommender systems research through reproducibility14
Multimodal modeling of collaborative problem-solving facets in triads14
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners13
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm13
BARGAIN: behavioral affective rule-based games adaptation interface–towards emotionally intelligent games: application on a virtual reality environment for socio-moral development12
Personality-targeted persuasive gamified systems: exploring the impact of application domain on the effectiveness of behaviour change strategies11
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication11
NFC: a deep and hybrid item-based model for item cold-start recommendation11
The role of transparency in multi-stakeholder educational recommendations11
Personalized task difficulty adaptation based on reinforcement learning11
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations10
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study9
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems8
An automated system recommending background music to listen to while working8
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises7
Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world7
Intra-list similarity and human diversity perceptions of recommendations: the details matter7
Safe, effective and explainable drug recommendation based on medical data integration7
A human-centered decentralized architecture and recommendation engine in SIoT6
Improving cold-start recommendations using item-based stereotypes6
A dichotomic approach to adaptive interaction for socially assistive robots6
Measuring and modeling context-dependent preferences for hearing aid settings6
Improving session-based recommendation with contrastive learning6
Personalized rehabilitation for children with cerebral palsy6
Use of topical and temporal profiles and their hybridisation for content-based recommendation6
Empathy as an engaging strategy in social robotics: a pilot study6
Viewer types in game live streams: questionnaire development and validation5
Eye-tracking-based personality prediction with recommendation interfaces5
A pharmaceutical therapy recommender system enabling shared decision-making5
Considering temporal aspects in recommender systems: a survey5
Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?5
Preface to the special issue on fair, accountable, and transparent recommender systems5
Rank-sensitive proportional aggregations in dynamic recommendation scenarios4
Embarrassingly shallow auto-encoders for dynamic collaborative filtering4
Gaze-based predictive models of deep reading comprehension4
Domain-based Latent Personal Analysis and its use for impersonation detection in social media4
Dynamic session-based music recommendation using information retrieval techniques4
Preface to the special issue on personalization and adaptation in human–robot interactive communication3
Transferring recommendations through privacy user models across domains3
Recommending on graphs: a comprehensive review from a data perspective3
Modeling users’ heterogeneous taste with diversified attentive user profiles3
How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?3
An overview of consensus models for group decision-making and group recommender systems3
Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback3
What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task3
Device personalization for heterogeneous populations: leveraging physician expertise and national population data to identify medical device patient user groups3
Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills3
Modelling and predicting an individual’s perception of advertising appeal3
Fair performance-based user recommendation in eCoaching systems3
Justification of recommender systems results: a service-based approach3
Extended recommendation-by-explanation3
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback2
Dirichlet–Luce choice model for learning from interactions2
Cognitive personalization for online microtask labor platforms: A systematic literature review2
Enhancing a student productivity model for adaptive problem-solving assistance2
A survey on popularity bias in recommender systems2
How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis2
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation2
Choice models and recommender systems effects on users’ choices2
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach2
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation2
Physiology-based personalization of persuasive technology: a user modeling perspective2
“Tell Me Why”: using natural language justifications in a recipe recommender system to support healthier food choices2
Online convex combination of ranking models2
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